CN108365557B - Method and system for fine routing inspection of power transmission line by unmanned aerial vehicle - Google Patents
Method and system for fine routing inspection of power transmission line by unmanned aerial vehicle Download PDFInfo
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- CN108365557B CN108365557B CN201810156755.9A CN201810156755A CN108365557B CN 108365557 B CN108365557 B CN 108365557B CN 201810156755 A CN201810156755 A CN 201810156755A CN 108365557 B CN108365557 B CN 108365557B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02G—INSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
- H02G1/00—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines
- H02G1/02—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines for overhead lines or cables
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0007—Image acquisition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0014—Image feed-back for automatic industrial control, e.g. robot with camera
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0008—Industrial image inspection checking presence/absence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
Abstract
The invention relates to a method and a system for fine routing inspection of a power transmission line by an unmanned aerial vehicle, which comprises the following steps: acquiring the type of a tower to be inspected; acquiring information of each part to be inspected according to the type of the tower to be inspected; acquiring image data of each part according to the information of each part to be inspected, and storing the information of each part and the image data acquired correspondingly in a correlation manner; and performing defect analysis on each corresponding part according to the image data of each part, and acquiring a defect analysis report. Compared with the prior art, the method and the device have the advantages that the image data of each part needing to be patrolled and examined by the tower type is automatically acquired according to the tower type, the problem that the image data is disordered or lacks of data is effectively solved, the acquired image data is automatically classified by associating the acquired image data with the information of each part, the workload is greatly reduced, the working efficiency is improved, and the accuracy of data classification is improved.
Description
Technical Field
The invention relates to the technical field of power transmission line monitoring, in particular to a method and a system for fine routing inspection of a power transmission line by an unmanned aerial vehicle.
Background
With the development of science and technology, electric power becomes an indispensable energy source for people's life and work, the construction of an electric power system also becomes an important component of urban planning, an electric power transmission line is an important component of the electric power system, whether the electric power transmission line has defects or not greatly affects the normal work of the electric power system, and therefore, the requirement on defect analysis of the electric power transmission line is higher and higher.
The tower is an important component in the power transmission line, and is used for supporting overhead line conductors and overhead ground wires, and performing defect analysis on all parts of the tower also becomes important work of defect analysis of the power transmission line. Along with the development of unmanned aerial vehicle technique, the power industry has also introduced unmanned aerial vehicle technique and has carried out the daily inspection to transmission line, and the mode of patrolling and examining the shaft tower through unmanned aerial vehicle is also more and more extensive.
At present, the mode of patrolling and examining the shaft tower through unmanned aerial vehicle is mainly by circuit inspection professional subaerial manual control unmanned aerial vehicle, makes unmanned aerial vehicle fly near the shaft tower, then controls unmanned aerial vehicle and closely shoots the photo image of gathering each position of shaft tower, and the photo image of each position of manual screening shaft tower again carries out the defect analysis according to this photo image at last to acquire the defect analysis report. The existing pole tower inspection mode mainly has the following defects: (1) the mode of shooting and collecting the photo images of all parts of the tower by manually and autonomously operating the unmanned aerial vehicle has no collection standard, the collection process is disordered, and the problem of less data collection is easily caused; (2) the number of the collected pictures is large, the repeated labor is large, the categories are easily classified, and the pictures and the images of all parts of the tower need to be manually screened, so that errors are easily caused.
Disclosure of Invention
Based on this, the invention aims to provide a method for fine routing inspection of a power transmission line by an unmanned aerial vehicle, which has the advantages of preventing the problem of disordered image data acquisition or data lack, realizing automatic data classification, reducing workload, improving working efficiency and improving accuracy of data classification.
A method for fine routing inspection of a power transmission line by an unmanned aerial vehicle comprises the following steps:
acquiring the type of a tower to be inspected;
acquiring information of each part to be inspected according to the type of the tower to be inspected;
acquiring image data of each part according to the information of each part to be inspected, and storing the information of each part and the image data acquired correspondingly in a correlation manner;
and performing defect analysis on each corresponding part according to the image data of each part, and acquiring a defect analysis report.
Compared with the prior art, the method and the device have the advantages that the image data of each part needing to be patrolled and examined by the tower type is automatically acquired according to the tower type, the problem that the image data is disordered or lacks of data is effectively solved, the acquired image data is automatically classified by associating the acquired image data with the information of each part, the workload is greatly reduced, the working efficiency is improved, and the accuracy of data classification is improved.
Further, the type of the tower to be patrolled and examined is obtained in the following manner: the tower type data management method has the advantages that each tower type is uniquely provided with one tower code, the type of the tower to be inspected is obtained by identifying the tower code on the tower to be inspected, classification and management of the tower type data are facilitated, and data sharing is achieved.
Further, the method for acquiring the information of each part needing to be patrolled and examined is as follows: the method comprises the steps of associating the type of a tower with a part needing to be inspected, establishing an inspection part coding library based on the type of the tower, and acquiring information of each part needing to be inspected corresponding to the type of the tower in the inspection part coding library according to the type of the tower so as to quickly acquire the information of each part needing to be inspected, thereby ensuring the accuracy and the integrity of acquired data.
Further, the method for acquiring the image data of each part to be inspected is as follows: according to the position information that needs were patrolled and examined, control unmanned aerial vehicle and reach this position and shoot to the image data who obtains this position, and number this image data, in order to obtain the image data of each position, in order to realize the automatic classification to the image data who gathers
Further, the manner of storing each part to be inspected and the image data acquired correspondingly in an associated manner is as follows: coding each part to be inspected and the correspondingly obtained image data to obtain a coded image data table of each part, wherein each part is correspondingly provided with a coded image data table, and the coded image data table comprises codes of the coded image data table, image data numbers, tower codes, tower type codes and inspection part codes. By encoding the image data of each part, the management of the data is facilitated, and the sharing of the data can be realized.
Further, before defect analysis is performed on each corresponding position, a defect coding library is established, in the defect coding library, each inspection position of the tower is provided with a plurality of defect names and corresponding defect descriptions, each defect name is provided with a defect code, and each defect description is provided with a defect description code, so that analysis and management of defect data are realized.
Further, the defect analysis method is as follows: reading image data of each part, classifying according to the part, respectively analyzing defects of different parts, screening out the name and description of the defect of a certain part according to a defect coding library of the part if the part has a defect, screenshot the part, setting ID of the screenshot to uniquely identify the screenshot, and generating a defect condition table according to the name and description of the defect; the defect status table includes a code of the defect status table, a defect code, a screenshot ID, a defect description code, a report code, a defect level, a creator, and a creation time.
Further, the defect analysis report is acquired in the following manner: importing the defect condition table and the data of the power transmission line where the tower is located into a set defect report template to generate a defect analysis report; the defect analysis report comprises a defect code, a report code, a defect condition table, a power transmission line name, a power transmission line code, a creator and creation time. And by generating the defect report of the standard template, the defect is conveniently and quickly positioned by the maintainer, and the defect is quickly processed.
The invention also provides a system for the fine routing inspection of the power transmission line by the unmanned aerial vehicle, which comprises the unmanned aerial vehicle, and a camera, a memory and a processor which are arranged on the unmanned aerial vehicle; the camera is suitable for receiving instructions of the processor and shooting image data; the memory is adapted to store a plurality of instructions and data; the processor is adapted to implement instructions and perform:
acquiring the type of a tower to be inspected;
acquiring information of each part to be inspected according to the type of the tower to be inspected;
acquiring image data of each part according to the information of each part to be inspected, and storing the information of each part and the image data acquired correspondingly in a correlation manner;
and performing defect analysis on each corresponding part according to the image data of each part, and acquiring a defect analysis report.
Compared with the prior art, the method and the device have the advantages that the image data of each part needing to be patrolled and examined by the tower type is automatically acquired according to the tower type, the problem that the image data is disordered or lacks of data is effectively solved, the acquired image data is automatically classified by associating the acquired image data with the information of each part, the workload is greatly reduced, the working efficiency is improved, and the accuracy of data classification is improved.
For a better understanding and practice, the invention is described in detail below with reference to the accompanying drawings.
Drawings
Fig. 1 is a flowchart of a method for fine routing inspection of a power transmission line by an unmanned aerial vehicle in the embodiment of the invention.
Detailed Description
Please refer to fig. 1, which is a flowchart of a method for fine routing inspection of a power transmission line by an unmanned aerial vehicle according to an embodiment of the present invention. The method for finely inspecting the power transmission line by the unmanned aerial vehicle comprises the following steps:
step S1: and acquiring the type of the tower to be inspected.
The tower description file of the transmission line is imported into the unmanned aerial vehicle, and in the invention, the description file is a file with an XLS format suffix. The tower description file comprises the name of the transmission line, the number of the tower and the type of the tower. After the unmanned aerial vehicle reaches a tower site to be patrolled and examined, the return flight height, the limiting height and the task completion action of the unmanned aerial vehicle are set, so that the unmanned aerial vehicle can be intelligently and safely patrolled and examined subsequently.
When the unmanned aerial vehicle is patrolled and examined, the transmission line to be patrolled and examined and the shaft tower that needs to be patrolled and examined are selected in the collusion earlier, treat near the shaft tower after unmanned aerial vehicle arrives, utilize the image of unmanned aerial vehicle passback, judge the exactness of the basic information of shaft tower that sets up in advance, and this basic information includes transmission line name, shaft tower number and shaft tower type. If the basic information of the tower is incorrect, the line patrol professional manually modifies the basic information; and if the basic information of the tower is correct, continuing to perform refined inspection. And then, when the unmanned aerial vehicle is checked to meet safety conditions required by takeoff, such as electric quantity and no problem of self-detection of internal electronic elements, the type of the tower is acquired by the unmanned aerial vehicle.
The method and the device encode the name of the transmission line, the number of the tower and the type of the tower, wherein 22 tower codes are established for the type of the standard tower, each tower code uniquely corresponds to one type of the tower, and the type of the tower can be obtained by identifying the tower code on the tower.
Step S2: and acquiring information of each part to be inspected according to the type of the tower to be inspected.
In the invention, each patrol inspection part of the tower is coded, and each code uniquely corresponds to one patrol inspection part. Meanwhile, the type of the tower is associated with each part needing to be patrolled, a patrolling part coding library based on the type of the tower is established, and information of each part needing to be patrolled corresponding to the type of the tower is obtained in the patrolling part coding library according to the type of the tower. The inspection position coding library comprises a tower type code, an inspection position name and an inspection position code which are stored in a correlated mode, and therefore the positions of the tower to be inspected can be determined according to the tower type code.
Step S3: and acquiring the image data of each part according to the information of each part to be inspected, and storing the information of each part to be inspected and the image data acquired correspondingly in a correlation manner.
According to the position information that needs to patrol and examine, control unmanned aerial vehicle and reach this position and shoot to acquire the image data of this position, and number this image data, and with this each position that needs to patrol and examine with the image data associative storage that corresponds and acquire. In the present invention, the associated storage manner is: coding each part to be inspected and the correspondingly obtained image data to obtain a coded image data table of each part, wherein each part is correspondingly provided with a coded image data table, and the coded image data table comprises codes of the coded image data table, image data numbers, tower codes, tower type codes and inspection part codes.
Step S4: and performing defect analysis on each corresponding part according to the image data of each part, and acquiring a defect analysis report.
The invention establishes a defect coding library, wherein a plurality of defect names and corresponding defect descriptions are arranged on each inspection part of a tower in the defect coding library, and the defects of each inspection part are further classified; by encoding the plurality of defect names and defect descriptions, a plurality of defect codes and defect description codes are obtained, so that subsequent intelligent classification can be realized by identifying the encoded data.
The invention also utilizes developed intelligent defect analysis software to read the image data of each part on the memory card of the unmanned aerial vehicle, automatically classifies according to the part, and carries out defect analysis on different parts respectively, if a certain part has a defect, the name and description of the defect are screened out according to the defect coding library of the part, the part is captured, and the ID of the captured image is set to uniquely identify the captured image; and generating a defect condition table according to the defect name and the defect description. The defect status table includes a code of the defect status table, a defect code, a screenshot ID, a defect description code, a report code, a defect level, a creator, and a creation time.
The method comprises the steps that a defect analysis report template is further arranged, and a defect analysis report can be automatically generated by importing data of the power transmission line where a defect condition table and a tower are located into the defect analysis report template, wherein the defect analysis report comprises a defect code, a report code, the defect condition table, the name of the power transmission line, the code of the power transmission line, a creator and creation time. Through docking maintenance system and unmanned aerial vehicle, realize the receipt to the defect report, help the maintainer fix a position fast, solve the processing defect, guarantee transmission line's even running.
The invention also provides a system for the fine routing inspection of the power transmission line by the unmanned aerial vehicle, which comprises the unmanned aerial vehicle, and a camera, a memory and a processor which are arranged on the unmanned aerial vehicle; the camera is suitable for receiving instructions of the processor and shooting image data; the memory is adapted to store a plurality of instructions and data; the processor is adapted to implement instructions and perform:
acquiring the type of a tower to be inspected;
acquiring information of each part to be inspected according to the type of the tower to be inspected;
acquiring image data of each part according to the information of each part to be inspected, and storing the information of each part and the image data acquired correspondingly in a correlation manner;
and analyzing the defects of the corresponding parts according to the image data of each part, and acquiring an analysis report.
Specifically, a tower description file of the transmission line is imported into the unmanned aerial vehicle, and in the invention, the description file is a file with an XLS format suffix. The tower description file comprises the name of the transmission line, the number of the tower and the type of the tower. After the unmanned aerial vehicle arrives at a tower site to be patrolled and examined, the return flight height, the limiting height and the task completion action of the unmanned aerial vehicle are set through the processor, so that the unmanned aerial vehicle can be intelligently and safely patrolled and examined subsequently.
When patrolling and examining, collude earlier through the treater and elect the transmission line that waits to patrol and examine and the shaft tower that needs to patrol and examine, wait near unmanned aerial vehicle arrival shaft tower back, utilize the image of unmanned aerial vehicle passback, judge the exactness of the shaft tower basic information that sets up in advance, this basic information includes transmission line name, shaft tower number and shaft tower type. If the basic information of the tower is incorrect, the line patrol professional manually modifies the basic information; and if the basic information of the tower is correct, continuing to perform refined inspection. And then, when the unmanned aerial vehicle is checked to meet safety conditions required by takeoff, such as electric quantity and no problem of self-detection of internal electronic elements, the type of the tower is acquired by the unmanned aerial vehicle.
The method and the device encode the name of the transmission line, the number of the tower and the type of the tower, wherein 22 tower codes are established for the type of the standard tower, each tower code uniquely corresponds to one type of the tower, and the type of the tower can be obtained by identifying the tower code on the tower.
In the invention, each patrol inspection part of the tower is coded, and each code uniquely corresponds to one patrol inspection part. Meanwhile, the type of the tower is associated with each part needing to be patrolled, an patrolling part coding library based on the type of the tower is established and stored in a memory, and according to the type of the tower, information of each part needing to be patrolled corresponding to the type of the tower is obtained in the patrolling part coding library. The inspection position coding library comprises a tower type code, an inspection position name and an inspection position code which are stored in a correlated mode, and therefore the positions of the tower to be inspected can be determined according to the tower type code.
According to the position information that needs were patrolled and examined, reach this position through treater control unmanned aerial vehicle to shoot this position through treater control camera, in order to obtain the image data of this position, and number this image data, and with this each position that need be patrolled and examined and the image data associative storage that corresponds and obtain. In the present invention, the associated storage manner is: coding each part to be inspected and the correspondingly obtained image data to obtain a coded image data table of each part, wherein each part is correspondingly provided with a coded image data table, and the coded image data table comprises codes of the coded image data table, image data numbers, tower codes, tower type codes and inspection part codes.
The invention also establishes a defect coding library, wherein a plurality of defect names and corresponding defect descriptions are arranged on each inspection part of the tower in the defect coding library, and the defects of each inspection part are further classified; by encoding the plurality of defect names and defect descriptions, a plurality of defect codes and defect description codes are obtained, so that subsequent intelligent classification can be realized by identifying the encoded data.
The invention also utilizes developed intelligent defect analysis software to read the image data of each part on the memory card of the unmanned aerial vehicle, automatically classifies according to the part, and respectively analyzes the defects of different parts, if the part has defects, the name and description of the defect are screened out according to the defect coding library of the part, and a defect condition table is generated according to the name and description of the defect; meanwhile, screenshot is carried out on the defective part by utilizing a screenshot function, and a screenshot ID is set for the screenshot so as to uniquely identify the screenshot; the defect status table includes a code of the defect status table, a defect code, a screenshot ID, a defect description code, a report code, a defect level, a creator, and a creation time.
The method comprises the steps that a defect analysis report template is further arranged, and a defect analysis report can be automatically generated by importing data of the power transmission line where a defect condition table and a tower are located into the defect analysis report template, wherein the defect analysis report comprises a defect code, a report code, the defect condition table, the name of the power transmission line, the code of the power transmission line, a creator and creation time. Through docking maintenance system and unmanned aerial vehicle, realize the receipt to the defect report, help the maintainer fix a position fast, solve the processing defect, guarantee transmission line's even running.
Compared with the prior art, the method and the device have the advantages that the image data of each part needing to be patrolled and examined by the tower type are automatically acquired according to the tower type, the problem that the image data is disordered or lack of data is effectively solved, and the acquired image data are associated with the information of each part, so that the acquired image data are automatically classified; by encoding the tower type and the image data of each part, the management of the data is facilitated, and the data can be shared; through setting up the defect coding storehouse and to defect analysis and identification, realized defect intelligent classification, greatly reduced work load, improved work efficiency, improved data classification's accuracy. Furthermore, by generating a defect report of the standard template, the defect is conveniently and quickly positioned by a maintainer, and the defect is quickly processed.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (4)
1. The method for finely inspecting the power transmission line by the unmanned aerial vehicle is characterized by comprising the following steps of: the method comprises the following steps:
acquiring the type of a tower to be inspected;
acquiring information of each part to be inspected according to the type of the tower to be inspected;
acquiring image data of each part according to the information of each part to be inspected, and storing the information of each part and the image data acquired correspondingly in a correlation manner;
according to the image data of each part, performing defect analysis on each corresponding part, and acquiring a defect analysis report;
the method for acquiring the image data of each part needing to be inspected is as follows: controlling the unmanned aerial vehicle to reach the part to shoot according to the information of the part to be inspected so as to obtain the image data of the part, numbering the image data and obtaining the image data of each part; the mode of storing each part needing to be patrolled and examined and the image data obtained correspondingly in an associated manner is as follows: coding information of each part to be inspected and correspondingly obtained image data to obtain a coded image data table of each part, wherein each part is correspondingly provided with a coded image data table, and the coded image data table comprises codes of the coded image data table, image data numbers, tower codes, tower type codes and inspection part codes;
the type of the tower to be patrolled and examined is obtained in the following mode: the method comprises the steps that a unique tower code is set for each tower type, and the type of a tower to be inspected is obtained by identifying the tower code on the tower to be inspected;
before defect analysis is carried out on each corresponding part, a defect coding library is established, in the defect coding library, each inspection part of the tower is provided with a plurality of defect names and corresponding defect descriptions, each defect name is provided with a defect code, and each defect description is provided with a defect description code;
the defect analysis mode is as follows: reading image data of each part, classifying according to the part, respectively analyzing defects of different parts, screening out the name and description of the defect of a certain part according to a defect coding library of the part if the part has a defect, screenshot the part, setting ID of the screenshot to uniquely identify the screenshot, and generating a defect condition table according to the name and description of the defect; the defect condition table comprises codes of the defect condition table, defect codes, screenshot IDs, defect description codes, report codes, defect levels, creators and creation time;
the defect analysis report acquisition mode is as follows: importing the defect condition table and the data of the power transmission line where the tower is located into a set defect report template to generate a defect analysis report; the defect analysis report comprises a defect code, a report code, a defect condition table, a power transmission line name, a power transmission line code, a creator and creation time.
2. The method for unmanned aerial vehicle to refine inspection of power transmission lines according to claim 1, wherein: the information acquisition mode of each part needing to be patrolled is as follows: associating the type of the tower with the position to be inspected, establishing an inspection position coding library based on the type of the tower, and acquiring information of each part to be inspected corresponding to the type of the tower from the inspection position coding library according to the type of the tower; the inspection position coding library comprises a tower type code, an inspection position name and an inspection position code which are stored in a correlated mode.
3. The utility model provides a system for unmanned aerial vehicle becomes meticulous and patrols and examines transmission line which characterized in that: the unmanned aerial vehicle comprises an unmanned aerial vehicle, and a camera, a memory and a processor which are arranged on the unmanned aerial vehicle; the camera is suitable for receiving instructions of the processor and shooting image data; the memory is adapted to store a plurality of instructions and data; the processor is adapted to implement instructions and perform:
acquiring the type of a tower to be inspected;
acquiring information of each part to be inspected according to the type of the tower to be inspected;
acquiring image data of each part according to the information of each part to be inspected, and storing the information of each part and the image data acquired correspondingly in a correlation manner;
according to the image data of each part, performing defect analysis on each corresponding part, and acquiring a defect analysis report;
the mode of storing each part needing to be patrolled and examined and the image data obtained correspondingly in an associated manner is as follows: coding information of each part to be inspected and correspondingly obtained image data to obtain a coded image data table of each part, wherein each part is correspondingly provided with a coded image data table, and the coded image data table comprises codes of the coded image data table, image data numbers, tower codes, tower type codes and inspection part codes;
the type of the tower to be patrolled and examined is obtained in the following mode: the method comprises the steps that a unique tower code is set for each tower type, and the type of a tower to be inspected is obtained by identifying the tower code on the tower to be inspected;
before defect analysis is carried out on each corresponding part, a defect coding library is established, in the defect coding library, each inspection part of the tower is provided with a plurality of defect names and corresponding defect descriptions, each defect name is provided with a defect code, and each defect description is provided with a defect description code;
the defect analysis mode is as follows: reading image data of each part, classifying according to the part, respectively analyzing defects of different parts, screening out the name and description of the defect of a certain part according to a defect coding library of the part if the part has a defect, screenshot the part, setting ID of the screenshot to uniquely identify the screenshot, and generating a defect condition table according to the name and description of the defect; the defect condition table comprises codes of the defect condition table, defect codes, screenshot IDs, defect description codes, report codes, defect levels, creators and creation time;
the defect analysis report acquisition mode is as follows: importing the defect condition table and the data of the power transmission line where the tower is located into a set defect report template to generate a defect analysis report; the defect analysis report comprises a defect code, a report code, a defect condition table, a power transmission line name, a power transmission line code, a creator and creation time.
4. The system for unmanned aerial vehicle to refine inspection of power transmission lines according to claim 3, wherein: the processor comprises the following steps when acquiring the image data of each part needing to be patrolled and examined: the treater is according to the position information that needs were patrolled and examined, and control unmanned aerial vehicle reachs this position and shoots to acquire the image data of this position, and number this image data, in order to acquire the image data of each position.
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| CN109670064A (en) * | 2018-12-27 | 2019-04-23 | 广东电网有限责任公司 | Photo archiving method, device and electronic equipment |
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